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1.
Proteomics ; 8(12): 2366-70, 2008 Jun.
Article in English | MEDLINE | ID: mdl-18563728

ABSTRACT

To discriminate between stable and dynamic protein-protein interactions, we propose a strategy in which cells with and without tagged bait are differentially labeled with stable isotope and combined prior to complex purification. Mass-spectrometric analysis of the purified complexes identifies stable and dynamic components as those derived exclusively from the tagged cells and those from both cells, respectively. We successfully applied this strategy to analyze two yeast protein complexes, eIF2B-eIF2 and cyclin-Cdc28.


Subject(s)
Proteomics , Saccharomyces cerevisiae Proteins/analysis , Saccharomyces cerevisiae Proteins/metabolism , CDC28 Protein Kinase, S cerevisiae/analysis , CDC28 Protein Kinase, S cerevisiae/chemistry , CDC28 Protein Kinase, S cerevisiae/metabolism , Chromatography, Liquid , Cyclins/analysis , Cyclins/chemistry , Cyclins/metabolism , Eukaryotic Initiation Factor-2/analysis , Eukaryotic Initiation Factor-2/chemistry , Eukaryotic Initiation Factor-2/metabolism , Eukaryotic Initiation Factor-2B/analysis , Eukaryotic Initiation Factor-2B/chemistry , Eukaryotic Initiation Factor-2B/metabolism , Isotope Labeling , Mass Spectrometry , Models, Biological , Protein Binding , Protein Subunits/metabolism , Reproducibility of Results , Saccharomyces cerevisiae Proteins/chemistry , Saccharomyces cerevisiae Proteins/isolation & purification , Tandem Mass Spectrometry
2.
Mol Cell Biol ; 38(6)2018 03 15.
Article in English | MEDLINE | ID: mdl-29263158

ABSTRACT

A tightly controlled cellular deoxyribonucleotide (deoxynucleoside triphosphate [dNTP]) pool is critical for maintenance of genome integrity. One mode of dNTP pool regulation is through subcellular localization of ribonucleotide reductase (RNR), the enzyme that catalyzes the rate-limiting step of dNTP biosynthesis. In Saccharomyces cerevisiae, the RNR small subunit, Rnr2-Rnr4, is localized to the nucleus, whereas the large subunit, Rnr1, is cytoplasmic. As cells enter S phase or encounter DNA damage, Rnr2-Rnr4 relocalizes to the cytoplasm to form an active holoenzyme complex with Rnr1. Although the DNA damage-induced relocalization requires the checkpoint kinases Mec1-Rad53-Dun1, the S-phase-specific redistribution does not. Here, we report that the S-phase cyclin-cyclin-dependent kinase (CDK) complex Clb6-Cdc28 controls Rnr2-Rnr4 relocalization in S phase. Rnr2 contains a consensus CDK site and exhibits Clb6-dependent phosphorylation in S phase. Deletion of CLB6 or removal of the CDK site results in an increased association of Rnr2 with its nuclear anchor Wtm1, nuclear retention of Rnr2-Rnr4, and an enhanced sensitivity to the RNR inhibitor hydroxyurea. Thus, we propose that Rnr2-Rnr4 redistribution in S phase is triggered by Clb6-Cdc28-mediated phosphorylation of Rnr2, which disrupts the Rnr2-Wtm1 interaction and promotes the release of Rnr2-Rnr4 from the nucleus.


Subject(s)
CDC28 Protein Kinase, S cerevisiae/metabolism , Cyclin B/metabolism , Ribonucleoside Diphosphate Reductase/metabolism , Ribonucleotide Reductases/metabolism , Saccharomyces cerevisiae Proteins/metabolism , Saccharomyces cerevisiae/cytology , CDC28 Protein Kinase, S cerevisiae/analysis , Cyclin B/analysis , Phosphorylation , Protein Transport , Ribonucleoside Diphosphate Reductase/analysis , Ribonucleotide Reductases/analysis , S Phase , Saccharomyces cerevisiae/metabolism , Saccharomyces cerevisiae Proteins/analysis
3.
Mol Biol Cell ; 13(1): 52-70, 2002 Jan.
Article in English | MEDLINE | ID: mdl-11809822

ABSTRACT

We derived novel, testable predictions from a mathematical model of the budding yeast cell cycle. A key qualitative prediction of bistability was confirmed in a strain simultaneously lacking cdc14 and G1 cyclins. The model correctly predicted quantitative dependence of cell size on gene dosage of the G1 cyclin CLN3, but it incorrectly predicted strong genetic interactions between G1 cyclins and the anaphase-promoting complex specificity factor Cdh1. To provide constraints on model generation, we determined accurate concentrations for the abundance of all nine cyclins as well as the inhibitor Sic1 and the catalytic subunit Cdc28. For many of these we determined abundance throughout the cell cycle by centrifugal elutriation, in the presence or absence of Cdh1. In addition, perturbations to the Clb-kinase oscillator were introduced, and the effects on cyclin and Sic1 levels were compared between model and experiment. Reasonable agreement was obtained in many of these experiments, but significant experimental discrepancies from the model predictions were also observed. Thus, the model is a strong but incomplete attempt at a realistic representation of cell cycle control. Constraints of the sort developed here will be important in development of a truly predictive model.


Subject(s)
Cell Cycle/physiology , Models, Theoretical , Saccharomyces cerevisiae Proteins , Saccharomycetales/physiology , CDC28 Protein Kinase, S cerevisiae/analysis , Cell Size , Cyclin-Dependent Kinase Inhibitor Proteins , Cyclin-Dependent Kinases/genetics , Cyclin-Dependent Kinases/metabolism , Cyclins/genetics , Cyclins/metabolism , Cyclins/physiology , Escherichia coli/genetics , Fungal Proteins/analysis , Gene Dosage , Gene Expression Regulation, Fungal , Genome, Fungal , Genotype , Mathematical Computing , Mitosis/physiology , Phosphorylation , Saccharomycetales/cytology , Saccharomycetales/genetics , Saccharomycetales/metabolism
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